VDMv-32 trained on ImageNet32

A variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).

Model uses v-parametrization for the loss. The diffusion model is of size 32. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.

Model was trained on ImageNet32 for 1.5 million steps.

Random seeds: 1, 2, 13